Vol.3 Issue 2 2020-21 A Study of Growing Trends of Online ...

Vol.3 Issue 2 2020-21

A Study of Growing Trends of Online Travel Booking Sites &

Consumer's Vision towards its Usage

Dr. Siddhi Agrawal**

Dr. Riddhi Agrawal*

Keywords: : Online Travel Booking, Gujarat & Gujarati's, Popular Sites.

Abstract:

Tourism is really big Industry in India. It covers travel, accommodation, food and

many other small and big businesses. To focus on the Travel booking sites (online business)

the present study is prepared. From the present study research will try to know the

perspective of online Travel Booking Sites for the people of North Gujarat Region. Here

during the study researcher will try to know the respondents view upon experience regarding

comfort from the past experiences. Core focus point is to know the popular site, for Online

Travel Booking for the people of North Gujarat Region. For the Data analyzing with the help

of supportive data Chi Square test is performed.

Introduction

Popular sites are sites which are

observing highest online networking

traffic. It is also considered for the top

rating sites. This rating may be on the

Definition of Popular sites & basic

Information of sites:

How does India Travel? This is

the ques t ion which changes the

perspective of thinker's worldwide. It is

the old thought when Indian's were not

travelling more. It was old concept where

we use to travel only for some purpose or

to meet relatives. Now it's the time where

we are changing global perspective as

data are now available which previously

was not. Gujarati's are most popular

region which spends a lot for outing and

touring so the current study is made. Now

days wherever you go you will find

Gujarati Tourist which shows the growing

trend of far distance travel. One better

thing to know is Gujarati's are travel in

Group so maximum bulk deals are

booked to get the maximum benefit.

Previously it was through local Travel

Operators & tourist needs to choose the

specified tour plan which is offered by

local Operator. But now with the help of

online Travel Booking now they can plan

their desired Travel Plan and customized

as per the monetary & time requirements.

International Journal of Maktabah Jafariyah [1]

*Assistant Professor, S.K. College of Business Management, HNG University, Patan

**Assistant Professor, Haji D V Aghariya Jafari Arts & Commerce College Sedrana Square, Siddhapur

Ÿ Yatra ( )www.yatra.com

Ÿ ClearTrip ( )www.cleartrip.com

MakeMyTrip ( )Ÿ www.makemytrip.com

MakeMyTrip is another leading

player in online flight bookings in India.

MakeMyTrip offers great offers, some of

the lowest airfares, exclusive discounts

and seamless online booking experience.

Flight, hotel and holiday bookings

through the website is a delightfully

customer-friendly experience, and with

just a few clicks you can complete your

b o o k i n g . T h e o v e r a l l b o o k i n g

experience with MakeMyTrip constantly

adds value to its product and continues to

offer the best to its customers.

Ÿ Expedia ( ) www.expedia.co.in

Yatra is one of India's leading

online t ravel companies. The

company provides information,

pricing, availability, and booking

f a c i l i t y f o r d o m e s t i c a n d

international air travel, domestic and

international hotel bookings, holiday

packages, buses, trains, in city

activities, inter-city, and point-to-

point cabs, homestays, and cruises.

A s a l e a d i n g p l a t f o r m f o r

accommodation options, Yatra

provides real-time bookings for more

than 83,000 hotels in India and over

800,000 hotels around the world.

Cleartrip is an online travel site

providing online services for flights,

trains and hotel reservations.

Cleartrip offers a range of holiday

packages and also services of

searching and booking tickets.

Cleartrip also operates Cleartrip for

Business, an online corporate travel

management tool; Agent Box, a

travel tool for travel agents; and

Cleartrip Mobile, a travel booking

a p p f o r m o b i l e d e v i c e s . I n

2 0 1 7 , G o o g l e a n n o u n c e d a

partnership with ClearTrip for its

flight search application, Google

Flights.

Ÿ Goibibo ( )www.goibibo.com

1http://speeblog.com/travel-websites-in-india/

ground of online Traffic or on the basis of

maximum deal conversion ratio (means

transaction confirmed). As per the above

meaning the below mention sites are

selected as top rated sites for Travel

Bookings. The data are taken from 1

speeblog.com

Expedia is one of the fastest

growing online travel portals in India,

offering travelers an extensive

selection of hotels, activities and

travel services to meet every budget

and activities of every kind at

compet i t ive ra tes . With over

hundreds of thousands of hotel

p a r t n e r s w o r l d w i d e a n d a

comprehensive offering of flight

inventory made available on the

w e b s i t e , t r a v e l e r s c a n b o o k

everything they need for a holiday –

rooms to meet every budget ,

activities of every kind and travel

services to complement.

Goibibo is India's leading online

travel booking brand providing a


Ÿ SOTC India ( ) www.sotc.in

range of choice for hotels, flights,

trains, bus and cars for travelers. The

platform offers one of the most

trusted user experience, be it in terms

of quickest search and booking,

fastest payments, settlement or

refund processes. Through its sister

platform , customers enjoy GoStays

standardized stay experience at

certified hotel properties.

Ÿ Thomas Cook ( ) www.thomascook.in

Thomas Cook is the leading

integrated travel and travel related

financial services company in India

offering a broad spectrum of services

that include Foreign Exchange,

Corporate Travel, MICE, Leisure

Travel, Insurance, Visa & Passport

services, and E-Business. The

company set up its first office in India

in 1881. Since then, the company has

spanned over 21 countries across 4

continents.

Ÿ Travel Guru ( ) www.travelguru.com

Travelguru is India's leading

travel website, offering you the best

prices on flights, hotels and holiday

packages across India and the world.

Travelguru makes planning and

buying a holiday or a business trip

easy and convenient. Travelguru's

current product offering consists of

airline tickets, hotel rooms, vacation

packages, and cruises. The website

plan to expand its services to offer a

wide array of travel-related services

including car rentals.

Ÿ Travelite India ( ) www.traveliteindia.com

Travelite (India) is one of the best

online travel agency in India Offering

international travelers the best of

holiday packages in India. Travelite

India works closely with airlines,

leading hotel chains, wellness

centers, luxury car operators, and

wildlife resort centers to provide the

perfect travel and holiday services for

its clients.

Ÿ TripAdvisor ( )www.tripadvisor.in

TripAdvisor, the world's largest

travel site, enables travelers to

unleash the full potential of every

trip. With 702 million reviews and

opinions covering the world's largest

selection of travel listings worldwide

– c o v e r i n g 8 m i l l i o n

a c c o m m o d a t i o n s , a i r l i n e s ,

exper iences , and res taurants ,

TripAdvisor provides travelers with

the wisdom of the crowds to help

them decide where to stay, how to fly,

what to do and where to eat.

SOTC India is a leading travel and

tourism company active across

various travel segments including

Leisure Travel, Incentive Travel, and

B u s i n e s s Tr a v e l . S O T C w a s

established in 1949. Since then, it has

escorted lakhs of travelers across the

globe for more than 70 years to

various destinations around the

world.


Ÿ To check availability of such online

Travel Booking sites.

Ÿ Pan, B. (2010) article demonstrates

that an exponential growth model is

most appropriate when modeling the

numbers of returns over time. The

study suggests that surveying a pilot

sample and analyzing their responses

can allow a researcher to estimate the

parameters of the response model for

a large-scale survey and thus conduct

a study in a more effective way.

Ÿ Banyai, M. et. al., (2011) The increase

of online diaries, or blogs, has not

on ly affec ted communica t ion

channels, but also the way tourism

destinations are being promoted and

consumed. To date, few studies have

focused on the content of travel blogs

as a rich source of destination

marketing information.

Ÿ Lohmann, M et. al., (2009) Results

indicate as above study that sampling

method and length of field time have a

substantial influence on response rates.

It can further be shown that results

from online travel research differ from

results obtained in face to face

interviews even when focusing on the

same target group

Objective

Ÿ Wang, Y. et. al., (2004) This study

contributes to the understanding of

on l ine t rave l communi t ies by

extending and empirically testing a

conceptual framework of online travel

community member needs.

Ÿ Agag, G. M. et. al., (2016) in the

present study of Egypt says Through

findings which shows that all the

factors with the except ion of

consumer experience influence

consumer trust toward online travel

websites. Trust influences consumers'

attitude, perceived risk, and intention

to purchase travel online.

Ÿ To know the preference of the buyers

of North Gujarat region.

Ÿ Arsal, I., Backman et. al., (2008) The

analysis of the chosen countries and

topics indicate that residents were

more influential in food and beverage

recommendations, safety concerns at

the destination, and travel itinerary

refinements (including things to do and

places to see) whereas experienced

travellers were more influential in

accommodation recommendations,

transportation, monetary issues like

exchanging money and how much

money to carry during the travel,

destination information including

tourist hassle at a specific destination,

and itinerary advice.

Literature Review

Ÿ Card, J. A. et. al., (2003) article was

conducted to clarify differences

between onl ine t ravel product

shoppers and nonshoppers using the

Engel, Black, and Miniard (EBM)

consumer decision process model as

the theoretical framework.


Data Analysis and Hypothesis

testing

The Study: The present study is

descriptive in nature. This study is useful

for collecting more accurate information

from the respondent in limited time.

Tools for Data Analysis: Chi Square test

and cross tabulation is performed to

analyze the data collected from different

sources.

Ÿ To suggest from the result, whether it is

beneficial to enter in the market of

North Gujarat or not.

Tools for Data Collection: The present

research is based on primary data. Here

the researcher has used questionnaire

method of collecting information from the

respondents by visiting personally. The

researcher has also interviewed the

respondents personally. The questionnaire

includes several items to know the buyers

preference toward online travel booking

sites also tried to know the satisfaction

level of such sites with the help of 3 point

likert scale.

Research Methodology

Ÿ H0 : There is no significance 1

difference between users and non

users of online Travel Booking sites.

H1 : There is a significance difference 1

between users and non users of online


Ÿ H0 : There is no s ignificance 3

d i ff e r e n c e b e t w e e n l e v e l s o f

satisfaction with the sites experience.


between levels of satisfaction with the

sites experience.

The Sample: In the present study, the

researcher has selected the North Gujarat

as its population. Sample size for the

present research work was 1060. The

researcher has covered the Villages,

Talukas & Districts of the Mahesana,

Patan, Banaskantha & Sabarkantha. Data

are collected from the different group

belonging to the said districts they are

from different age group, different Income

Group & gender.

Hypothesis

Ÿ H0 : There is no s ignificance 2

difference between usages of popular

Travel Booking websites in the north

Gujarat Region.


between usages of popular Travel

Booking websites in the north

Gujarat Region.




Below mention is the data

statistics of the valid % about the

respondents. Below table is showing the

case summary about the respondents

belonging to the District Head Quarters,

Taluka Head Quarters & Village and their

usage of online Travel Booking Sites.

H0 : There is no significance difference 1




Above table shows that out of

1060 respondents 489 respondent have

never used using online Travel Booking

Si tes whi le 571 respondents has

experienced online Travel Booking Sites

in North Gujarat Region.


Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Area

of

Residence *

Travel

Booking

1060

100.0%

0

.0%

1060

100.0%

Area of Residence * Travel Booking Cross tabulation Count

Travel

Booking

Total

Yes

No

Area

of

Residence

District Head Quarter

63

37

100

Taluka Head Quarter

161

159

320

Village

347

293

640

Total

571

489

1060

Chi-Square Tests

Value df

Asymp. Sig. (2-sided)

Pearson Chi-Square 5.015a 2 .081

Likelihood Ratio 5.063 2 .080 Linear-by-Linear

Association .410 1 .522

N of Valid Cases

1060

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 46.13.

T h e C h i - s q u a r e t e s t w a s

performed at 5% level of significance. The

output of Chi-square test is as presented in

above table. The Pearson Chi-square

significance value is 0.081 and degree of

freedom is 2. Here table value of Chi

square as per book table is 5.991 and

calculated value as per above table is

5.015 calculated chi square value is less

then critical (book table) value so null

hypothesis is accepted and alternative

hypothesis is rejected. And we can say that

there is no significance difference

between the users and non users of online

Travel Booking Sites.

Symmetric Measures

Value Approx. Sig.

Nominal by Nominal Phi .069 .081

Cramer's V .069 .081

N of Valid Cases 1060

After performing the chi-square

test of independence that result into a

positive association, we generally assume

that the high chi-square value or low P

values signifies a strong association. This

is not always in the case.

That is where the Phi and cramer's

V come in. phi is generally suitable for 2

by 2 tables and cramer's V for 2 by 2 tables

and larger tables a cramer's V value is 0 =

no relationship, 0.2 or less = weak

relationship, from 0.21 to 0.3 = moderate

and above 0.3 = strong relationship, take a

note that is applicable only for nominal

data. As per the table above it shows the

weak relationship between users and non

users of Online Travel Booking Sites.



Booking websites in the north Gujarat

Region.



Booking websites in the north Gujarat

Region.


Above cross tabulation shows that

respondents in North Gujarat are Using

only those online Travel Booking Sites

which are popular. As per the above cross

tabulation we can say that consumers of

Nor th Gujara t Region a re us ing

Goibibo.com as the most preferred Travel

option while on next run they prefer

MakeMyTrip.com with the user 's

statistics of 592 & 181 respectively.

Consumers of North Gujarat are more

focused upon reliability and they prefer

the site only upon which they can relay. As

we all know these two sites are brand for

Travel Booking hence it is popular as

expected.


Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Area

of

Residence * Travel

Booking

Sites

1060

100.0%

0

.0%

1060

100.0%

Area

of

Residence * Travel

Booking

Sites Cross

tabulation

Count

Travel

Booking

Sites

Total

Cle

arT

rip.

com

Mak

eMyT

rip.

com

Th

omas

cook

.in

Ex

pedi

a.co

m Y

atra

.com

G

oibi

bo.c

om

T

rav

elit

eind

ia.c

om

T

rip

Adv

isor

.com

Sot

c.in

Tra

velG

uru.

com

Eas

emyt

rip.

Oth

er

Area

of

Residence


4

19

2

0

3

54

5

0

4

0

7

2

100

Taluka Head Quarter

6

55

1

4

11

198

6

4

0

10

22

3

320

Village

15

107

9

15

34

340

19

4

11

13

53

20

640

Total

25

181

12

19

48

592

30

8

15

23

82

25

1060





significance value is 0.028 and degree of




36.263 calculated chi square value is

grater then critical (book table) value so

null hypothesis is Rejected and alternative

hypothesis is Accepted. And it can be said

that there is a significance difference

between usages of popular websites in the

north Gujarat Region. Here we may add

that in Gujarat still somewhere we prefer

travel in group and generally good deals

for group bookings are offered by local

travel operators.


Here Phi is giving result of 0.185

which is less than 0.21 which shows the

poor relationship between the selected

websites and users. As here mostly

respondents has divided their preference

& mostly participants has difference of

opinion and selected different options

among popular sites.



sites experience.



sites experience.

Below mention is the data

statistics of the valid % about the

respondents. Below table is showing the

case summary about the respondents

belonging to the District Head Quarters,

Taluka Head Quarters & Village and their

Experience of usage of online Travel

Booking Sites.

Chi-Square Tests

Value

df Asymp. Sig.

(2-sided)

Pearson Chi-Square

36.263a 22

.028

Likelihood Ratio 44.532 22 .003

Linear-by-Linear Association

1.142 1 .285

N of Valid Cases

1060

a. 13 cells (36.1%) have expected count less than 5. The minimum expected count is .75.

Symmetric Measures

Value Approx. Sig.

Nominal by Nominal

Phi .185 .028 Cramer's V .131 .028

N of Valid Cases

1060


Cases

Valid Missing Total

N Percent N Percent N Percent Area of Residence * Travel

Booking Experience 1060 100.0% 0 .0% 1060 100.0%

Mostly respondents had avoided

to answer the question on the ground of

experience of using online site for Travel

Booking. But it was also observed that the

respondents of Village were happy with

the service of the Online Travel Booking

Sites. This shows that people of North

Gujarat are also Techno-sevy and they

also prefer online options for anything it

may be for online shopping, online

medical or online Travel Bookings.






significance value is 0.000 (here P= 0.000

which means P<0.0005. if P>=0.0005.

software output P= 0.001.) And degree of




35.698 calculated chi square value is

grater then critical (book table) value so

null hypothesis is Rejected and alternative

hypothesis is Accepted. And it can be said

that there is a significance difference


online Travel Booking sites experience.

Area

of

Residence * Travel

Booking

Experience

Cross

tabulation

Count

Travel

Booking

Experience

Total

0 Most

Comfortable Average Not

Comfortable Area of

Residence


56 18 25 1 100 Taluka Head Quarter

196

66

47

11

320

Village

294

119

196

31

640

Total

546

203

268

43

1060

Chi-Square Tests

Value

df Asymp. Sig.

(2-sided)

Pearson Chi-Square

35.698a 6

.000

Likelihood Ratio 38.543 6 .000 Linear-by-Linear

Association 19.748 1 .000

N of Valid Cases

1060 a. 1 cells (8.3%) have expected count less than 5. The

minimum expected count is 4.06.

Symmetric Measures

Value Approx.

Sig.

Nominal by Nominal Phi .184 .000 Cramer's V .130 .000

N of Valid Cases

1060

Finding & Suggestion Here Phi is giving result of 0.184

which is less than 0.21 which shows the

low statistical relationship between the

users and their using experience.

From the above study we can say

that population of North Gujarat is not

only well aware about the concept of


The key finding of the research is

that the people of North Gujarat Region

are using Online Travel Booking Site

maximum for Flight Bookings &

Accommodation. When we asked the

respondents they said they don't prefer to

book for package offered by the

companies, but they find best deals

separately like for Travel, for Hotel

Booking and they choose from the

available option & select for the best deal

so we can say user make their own

package by assembling services of

different service providers.

General Findings:

Users as and when going for any travel

destination they first check price online

then ask to the direct Hotel or for say any

service then compare between the two and

finally they opt for the best deal. (We can

say at least they can get safeguarded

against cheating.)

If company wish to protect &

build their own good image and brand

It is observed when we ask for the local

service provider's service they answered

like 'local service providers are offering

only bulk deal also it is found that they

offer only budget plans'.

Online Travel Booking Sites but they are

using the concepts to get benefited. E-

commerce business is growing day by day

but selected sites are top popular sites

across India. It is good to observe that

people are using E-Commerce for

purchase of their Travel Bookings. As we

all know people of Gujarat are spending a

lot on Touring and travelling every year.

So Gujarat is the Prospective Market for

the Online Sites. From the above Data we

can also see that respondents are giving

their preference toward different shopping

sites. Although highest preference is given

to the Goibibo.com & MakeMyTrip.com

but still none of the column of popular site

is blank which shows more or less we the

people of Gujarat are using online

shopping sites.

Key Finding:

Of course best offers, deals & discounts

are mega preference for following online

Travel sites.

Suggestions:

People of North Gujarat are ready to use

online options for Travel booking only if

they are able to build trust for safe

booking.

Online sites shows picture, photo etc

about the destination, accommodation,

visit nearby location, services available,

to do things, in short personalized

itinerary which gives maximum comfort

to the users.

Online bookings also having refund

policy so no need have worry.

People of North Gujarat are able to spend

more so they choose for the semi-

luxurious or luxurious deals here the

people choose for online options.

People are aware about Online Travel

Booking sites.

Many local Travel operators are providing

such services but somewhere they are

seeking for good deals & offers.


References

The data is collected on the basis

of respondents past experience so it may

be different from the next experience.

among all users they should show real life

Picture. Sometime it is not. (It may be the

willful wrong post by owner. Companies

should check.)

Companies should show all

possible options like Buses, local Taxies,

and connecting Trains etc.

There is one column where we can

see the ratings of past users & their

comments. This is most welcomed

initiative by the sites this should be

continued.

One thing that companies can do is

to maintain to do list. Where they can add

the famous things or food or place to visit

or try.

Limitations of the study:

This study is performed in the area

of North Gujarat Region which itself is the

small sample. As compare to the

developed area North Gujarat is

considered as less developed in sense of

technology so the ratios of acceptance

may be high in other region.

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M e t h o d o l o g y - M e t h o d s &

Techniques, Revised Second Edition,

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research on internet users: some

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